Climate services (CS) are crucial for mitigating and managing the impacts and risks associated with climate-induced disasters. While evidence over the past decade underscores their effectiveness across various domains...Climate services (CS) are crucial for mitigating and managing the impacts and risks associated with climate-induced disasters. While evidence over the past decade underscores their effectiveness across various domains, particularly agriculture, to maximize their potential, it is crucial to identify emerging priority areas and existing research gaps for future research agendas. As a contribution to this effort, this paper employs the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) methodology to review the state-of-the-art in the field of climate services for disaster risk management. A comprehensive search across five literature databases combined with a snowball search method using ResearchRabbit was conducted and yielded 242 peer-reviewed articles, book sections, and reports over 2013-2023 after the screening process. The analysis revealed flood, drought, and food insecurity as major climate-related disasters addressed in the reviewed literature. Major climate services addressed included early warning systems, (sub)seasonal forecasts and impact-based warnings. Grounded in the policy processes’ theoretical perspective, the main focus identified and discussed three prevailing policy-oriented priority areas: 1) development of climate services, 2) use-adoption-uptake, and 3) evaluation of climate services. In response to the limitations of the prevalent supply-driven and top-down approach to climate services promotion, co-production emerges as a cross-cutting critical aspect of the identified priority areas. Despite the extensive research in the field, more attention is needed, particularly pronounced in the science-policy interface perspective, which in practice bridges scientific knowledge and policy decisions for effective policy processes. This perspective offers a valuable analytical lens as an entry point for further investigation. Hence, future research agendas would generate insightful evidence by scrutinizing this critical aspect given its importance to institutions and climate services capacity, to better understand intricate facets of the development and the integration of climate services into disaster risk management.展开更多
Gearbox in offshore wind turbines is a component with the highest failure rates during operation. Analysis of gearbox repair policy that includes economic considerations is important for the effective operation of off...Gearbox in offshore wind turbines is a component with the highest failure rates during operation. Analysis of gearbox repair policy that includes economic considerations is important for the effective operation of offshore wind farms. From their initial perfect working states, gearboxes degrade with time, which leads to decreased working efficiency. Thus, offshore wind turbine gearboxes can be considered to be multi-state systems with the various levels of productivity for different working states. To efficiently compute the time-dependent distribution of this multi-state system and analyze its reliability, application of the nonhomogeneous continuous-time Markov process(NHCTMP) is appropriate for this type of object. To determine the relationship between operation time and maintenance cost, many factors must be taken into account, including maintenance processes and vessel requirements. Finally, an optimal repair policy can be formulated based on this relationship.展开更多
With the development of society and economy and increasing awareness of people's diet and health care,the demand for waxy corn and its processed products has been rising. At present,the planting of waxy corn in Ch...With the development of society and economy and increasing awareness of people's diet and health care,the demand for waxy corn and its processed products has been rising. At present,the planting of waxy corn in Chongqing is taking shape,but the waxy corn processing is still in the initial stage with smaller enterprise scale and fewer processing product variety. Based on the analysis of the development advantages and disadvantages of waxy corn processing industry in Chongqing,this paper brings forward the development ideas and strategies of Chongqing waxy corn processing industry from three aspects of production,processing and policy.展开更多
The maintenance model of simple repairable system is studied.We assume that there are two types of failure,namely type Ⅰ failure(repairable failure)and type Ⅱ failure(irrepairable failure).As long as the type Ⅰ fai...The maintenance model of simple repairable system is studied.We assume that there are two types of failure,namely type Ⅰ failure(repairable failure)and type Ⅱ failure(irrepairable failure).As long as the type Ⅰ failure occurs,the system will be repaired immediately,which is failure repair(FR).Between the(n-1)th and the nth FR,the system is supposed to be preventively repaired(PR)as the consecutive working time of the system reaches λ^(n-1) T,where λ and T are specified values.Further,we assume that the system will go on working when the repair is finished and will be replaced at the occurrence of the Nth type Ⅰ failure or the occurrence of the first type Ⅱ failure,whichever occurs first.In practice,the system will degrade with the increasing number of repairs.That is,the consecutive working time of the system forms a decreasing generalized geometric process(GGP)whereas the successive repair time forms an increasing GGP.A simple bivariate policy(T,N)repairable model is introduced based on GGP.The alternative searching method is used to minimize the cost rate function C(N,T),and the optimal(T,N)^(*) is obtained.Finally,numerical cases are applied to demonstrate the reasonability of this model.展开更多
This paper presents a management process for creating adaptive, real-time security policies within the Six Sigma (6σ) framework. A key challenge for the creation of a management process is the integration with models...This paper presents a management process for creating adaptive, real-time security policies within the Six Sigma (6σ) framework. A key challenge for the creation of a management process is the integration with models of known Industrial processes. One of the most used industrial process models is Six Sigma which is a business management model wherein customer centric needs are put in perspective with business data to create an efficient system. The security policy creation and management process proposed in this paper is based on the Six Sigma model and presents a method to adapt security goals and risk management of a computing service. By formalizing a security policy management process within an industrial process model, the adaptability of this model to existing industrial tools is seamless and offers a clear risk based policy decision framework. In particular, this paper presents the necessary tools and procedures to map Six Sigma DMAIC (Define-Measure-Analyze-Improve-Control) methodology to security policy management.展开更多
Estimation of domestic and overseas value-added of manufacturing sector is an important and difficult subject for the science-based evaluation of a country's trade interests under global value chain. Traditional HIY ...Estimation of domestic and overseas value-added of manufacturing sector is an important and difficult subject for the science-based evaluation of a country's trade interests under global value chain. Traditional HIY approach overestimates the domestic value- added of export. Although Koopman's method made certain improvements, it cannot utilize traditional I/O matrix and direct input coefficient matrix under the condition of incomplete information. By creating GAMS model, this paper addresses the above-mentioned problems and employs an improved model for the estimation of variations in domestic and overseas value-added of Chinese exports between 2002 and 2012. Our results indicate that by neglecting the export of processing trade, HIY approach overestimates the domestic value- added ratio of Chinese exports. As more imported intermediate inputs have been used in the export of processing trade, the estimation result of this paper have corrected deviations in the forecast of overseas value-added ratio and its tendencies based on HIY method Further analysis of specific factors of domestic value-added of export led to the discovery that the domestic value-added of export of processing trade and mixed trade is highly vulnerable to the impact of international capital inflow. It can be seen that the improved method for the estimation of value-added has indeed corrected the deviations in the estimation of China's value-added. In conclusion, China should accelerate the development of export of non- processing trade and trade in high-end services, and balance the relationship of export between local firms and foreign-funded firms, with a view to improving trade dependence and increasing the trade status of Chinese manufaeturing firms in global value chain.展开更多
Using an analytical narrative approach to understand policy change, this paper explores the Brazilian government decision to create a digital TV policy initiating major reforms in this sector. The analysis is centered...Using an analytical narrative approach to understand policy change, this paper explores the Brazilian government decision to create a digital TV policy initiating major reforms in this sector. The analysis is centered on the actors, preferences, and choices. The article is divided into three parts: (1) We address the historical institutionalism assumptions; (2) We focus on the politics of digital TV policy in Brazil; and (3) The results are highlighted, and "winners" and "losers" are identified. Actors, preferences, and choices are historically observed and related to the government decision about rules of digital TV exploitation. It provides configurational evidence that makes it possible to associate major changes to two presidential decrees (n° 4.901/2003 and n° 5.820/2006) that reflect the preferences and behavior of the main actor (broadcasters, social movements, and federal government) around the new digital TV issues. The Brazilian case shows an institutional model in which federal government's decisions are strongly connected with the preferences of the actor broadcasters and goes against the actor social movements.展开更多
Thailand was implementing the policy of HIV/A1DS prevention in risky group, The youth is one of groups with sexual risk behaviors to HIV/AIDS. This research aims to elucidate the process of policy implementation at th...Thailand was implementing the policy of HIV/A1DS prevention in risky group, The youth is one of groups with sexual risk behaviors to HIV/AIDS. This research aims to elucidate the process of policy implementation at the national and regional levels, and to explain the obstacles of policy implementation. The method was qualitative study. The stakeholders were 88 people. The data were collected by in-depth interview and coded by a computer program. The policy was transferred from the national AIDS committee to the Department of Disease Control (DDC) and provincial level. This process was lacking budget support. The provincial AIDS committee was monitored by the provincial health office, cooperating with the central level. The major role was to transfer the policy to the school, Local Administration Organization (LAO) and associated organization. The activity was funded by provincial, global funds, and outside sources. In the community, the core activities were AIDS knowledge, establishing core youth groups, and building the network of AIDS. The obstacle at the national level was changing the policy process from one with a budget to one without budget. In the area of practice, the AIDS problem and the effects of the risk behavior in youth groups were slightly concerned.展开更多
Data privacy laws require service providers to inform their customers on how user data is gathered,used,protected,and shared.The General Data ProtectionRegulation(GDPR)is a legal framework that provides guidelines for...Data privacy laws require service providers to inform their customers on how user data is gathered,used,protected,and shared.The General Data ProtectionRegulation(GDPR)is a legal framework that provides guidelines for collecting and processing personal information from individuals.Service providers use privacy policies to outline the ways an organization captures,retains,analyzes,and shares customers’data with other parties.These policies are complex and written using legal jargon;therefore,users rarely read them before accepting them.There exist a number of approaches to automating the task of summarizing privacy policies and assigning risk levels.Most of the existing approaches are not GDPR compliant and use manual annotation/labeling of the privacy text to assign risk level,which is time-consuming and costly.We present a framework that helps users see not only data practice policy compliance with GDPR but also the risk levels to privacy associated with accepting that policy.The main contribution of our approach is eliminating the overhead cost of manual annotation by using the most frequent words in each category to create word-bags,which are used with Regular Expressions and Pointwise Mutual Information scores to assign risk levels that comply with the GDPR guidelines for data protection.We have also developed a web-based application to graphically display risk level reports for any given online privacy policy.Results show that our approach is not only consistent with GDPR but performs better than existing approaches by successfully assigning risk levels with 95.1%accuracy after assigning data practice categories with an accuracy rate of 79%.展开更多
文摘Climate services (CS) are crucial for mitigating and managing the impacts and risks associated with climate-induced disasters. While evidence over the past decade underscores their effectiveness across various domains, particularly agriculture, to maximize their potential, it is crucial to identify emerging priority areas and existing research gaps for future research agendas. As a contribution to this effort, this paper employs the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) methodology to review the state-of-the-art in the field of climate services for disaster risk management. A comprehensive search across five literature databases combined with a snowball search method using ResearchRabbit was conducted and yielded 242 peer-reviewed articles, book sections, and reports over 2013-2023 after the screening process. The analysis revealed flood, drought, and food insecurity as major climate-related disasters addressed in the reviewed literature. Major climate services addressed included early warning systems, (sub)seasonal forecasts and impact-based warnings. Grounded in the policy processes’ theoretical perspective, the main focus identified and discussed three prevailing policy-oriented priority areas: 1) development of climate services, 2) use-adoption-uptake, and 3) evaluation of climate services. In response to the limitations of the prevalent supply-driven and top-down approach to climate services promotion, co-production emerges as a cross-cutting critical aspect of the identified priority areas. Despite the extensive research in the field, more attention is needed, particularly pronounced in the science-policy interface perspective, which in practice bridges scientific knowledge and policy decisions for effective policy processes. This perspective offers a valuable analytical lens as an entry point for further investigation. Hence, future research agendas would generate insightful evidence by scrutinizing this critical aspect given its importance to institutions and climate services capacity, to better understand intricate facets of the development and the integration of climate services into disaster risk management.
文摘Gearbox in offshore wind turbines is a component with the highest failure rates during operation. Analysis of gearbox repair policy that includes economic considerations is important for the effective operation of offshore wind farms. From their initial perfect working states, gearboxes degrade with time, which leads to decreased working efficiency. Thus, offshore wind turbine gearboxes can be considered to be multi-state systems with the various levels of productivity for different working states. To efficiently compute the time-dependent distribution of this multi-state system and analyze its reliability, application of the nonhomogeneous continuous-time Markov process(NHCTMP) is appropriate for this type of object. To determine the relationship between operation time and maintenance cost, many factors must be taken into account, including maintenance processes and vessel requirements. Finally, an optimal repair policy can be formulated based on this relationship.
基金Supported by Science and Technology Service Platform Project of Chongqing Science and Technology Commission(cstc2015ptfw-ggfw80001)Agricultural Development Project of Chongqing Academy of Agricultural Sciences(Research and Demonstration of the Key Technology in Adjusting Corn Planting Structure)Soft Science Project of Jiulongpo District Science and Technology Commission in Chongqing Municipality(Study on the Industrialization Layout and Development Strategy of Grain Reform in Chongqing)
文摘With the development of society and economy and increasing awareness of people's diet and health care,the demand for waxy corn and its processed products has been rising. At present,the planting of waxy corn in Chongqing is taking shape,but the waxy corn processing is still in the initial stage with smaller enterprise scale and fewer processing product variety. Based on the analysis of the development advantages and disadvantages of waxy corn processing industry in Chongqing,this paper brings forward the development ideas and strategies of Chongqing waxy corn processing industry from three aspects of production,processing and policy.
基金supported by the National Natural Science Foundation of China(61573014)the Fundamental Research Funds for the Central Universities(JB180702).
文摘The maintenance model of simple repairable system is studied.We assume that there are two types of failure,namely type Ⅰ failure(repairable failure)and type Ⅱ failure(irrepairable failure).As long as the type Ⅰ failure occurs,the system will be repaired immediately,which is failure repair(FR).Between the(n-1)th and the nth FR,the system is supposed to be preventively repaired(PR)as the consecutive working time of the system reaches λ^(n-1) T,where λ and T are specified values.Further,we assume that the system will go on working when the repair is finished and will be replaced at the occurrence of the Nth type Ⅰ failure or the occurrence of the first type Ⅱ failure,whichever occurs first.In practice,the system will degrade with the increasing number of repairs.That is,the consecutive working time of the system forms a decreasing generalized geometric process(GGP)whereas the successive repair time forms an increasing GGP.A simple bivariate policy(T,N)repairable model is introduced based on GGP.The alternative searching method is used to minimize the cost rate function C(N,T),and the optimal(T,N)^(*) is obtained.Finally,numerical cases are applied to demonstrate the reasonability of this model.
文摘This paper presents a management process for creating adaptive, real-time security policies within the Six Sigma (6σ) framework. A key challenge for the creation of a management process is the integration with models of known Industrial processes. One of the most used industrial process models is Six Sigma which is a business management model wherein customer centric needs are put in perspective with business data to create an efficient system. The security policy creation and management process proposed in this paper is based on the Six Sigma model and presents a method to adapt security goals and risk management of a computing service. By formalizing a security policy management process within an industrial process model, the adaptability of this model to existing industrial tools is seamless and offers a clear risk based policy decision framework. In particular, this paper presents the necessary tools and procedures to map Six Sigma DMAIC (Define-Measure-Analyze-Improve-Control) methodology to security policy management.
基金Project of the National Natural Sciences Foundation"Study on Trade,Investment and Industrial Relocation Based on Value Chain for the Belt and Road Initiative"(Approval No.71441039)
文摘Estimation of domestic and overseas value-added of manufacturing sector is an important and difficult subject for the science-based evaluation of a country's trade interests under global value chain. Traditional HIY approach overestimates the domestic value- added of export. Although Koopman's method made certain improvements, it cannot utilize traditional I/O matrix and direct input coefficient matrix under the condition of incomplete information. By creating GAMS model, this paper addresses the above-mentioned problems and employs an improved model for the estimation of variations in domestic and overseas value-added of Chinese exports between 2002 and 2012. Our results indicate that by neglecting the export of processing trade, HIY approach overestimates the domestic value- added ratio of Chinese exports. As more imported intermediate inputs have been used in the export of processing trade, the estimation result of this paper have corrected deviations in the forecast of overseas value-added ratio and its tendencies based on HIY method Further analysis of specific factors of domestic value-added of export led to the discovery that the domestic value-added of export of processing trade and mixed trade is highly vulnerable to the impact of international capital inflow. It can be seen that the improved method for the estimation of value-added has indeed corrected the deviations in the estimation of China's value-added. In conclusion, China should accelerate the development of export of non- processing trade and trade in high-end services, and balance the relationship of export between local firms and foreign-funded firms, with a view to improving trade dependence and increasing the trade status of Chinese manufaeturing firms in global value chain.
文摘Using an analytical narrative approach to understand policy change, this paper explores the Brazilian government decision to create a digital TV policy initiating major reforms in this sector. The analysis is centered on the actors, preferences, and choices. The article is divided into three parts: (1) We address the historical institutionalism assumptions; (2) We focus on the politics of digital TV policy in Brazil; and (3) The results are highlighted, and "winners" and "losers" are identified. Actors, preferences, and choices are historically observed and related to the government decision about rules of digital TV exploitation. It provides configurational evidence that makes it possible to associate major changes to two presidential decrees (n° 4.901/2003 and n° 5.820/2006) that reflect the preferences and behavior of the main actor (broadcasters, social movements, and federal government) around the new digital TV issues. The Brazilian case shows an institutional model in which federal government's decisions are strongly connected with the preferences of the actor broadcasters and goes against the actor social movements.
文摘Thailand was implementing the policy of HIV/A1DS prevention in risky group, The youth is one of groups with sexual risk behaviors to HIV/AIDS. This research aims to elucidate the process of policy implementation at the national and regional levels, and to explain the obstacles of policy implementation. The method was qualitative study. The stakeholders were 88 people. The data were collected by in-depth interview and coded by a computer program. The policy was transferred from the national AIDS committee to the Department of Disease Control (DDC) and provincial level. This process was lacking budget support. The provincial AIDS committee was monitored by the provincial health office, cooperating with the central level. The major role was to transfer the policy to the school, Local Administration Organization (LAO) and associated organization. The activity was funded by provincial, global funds, and outside sources. In the community, the core activities were AIDS knowledge, establishing core youth groups, and building the network of AIDS. The obstacle at the national level was changing the policy process from one with a budget to one without budget. In the area of practice, the AIDS problem and the effects of the risk behavior in youth groups were slightly concerned.
文摘Data privacy laws require service providers to inform their customers on how user data is gathered,used,protected,and shared.The General Data ProtectionRegulation(GDPR)is a legal framework that provides guidelines for collecting and processing personal information from individuals.Service providers use privacy policies to outline the ways an organization captures,retains,analyzes,and shares customers’data with other parties.These policies are complex and written using legal jargon;therefore,users rarely read them before accepting them.There exist a number of approaches to automating the task of summarizing privacy policies and assigning risk levels.Most of the existing approaches are not GDPR compliant and use manual annotation/labeling of the privacy text to assign risk level,which is time-consuming and costly.We present a framework that helps users see not only data practice policy compliance with GDPR but also the risk levels to privacy associated with accepting that policy.The main contribution of our approach is eliminating the overhead cost of manual annotation by using the most frequent words in each category to create word-bags,which are used with Regular Expressions and Pointwise Mutual Information scores to assign risk levels that comply with the GDPR guidelines for data protection.We have also developed a web-based application to graphically display risk level reports for any given online privacy policy.Results show that our approach is not only consistent with GDPR but performs better than existing approaches by successfully assigning risk levels with 95.1%accuracy after assigning data practice categories with an accuracy rate of 79%.